Articles | Volume 15, issue 3
https://doi.org/10.5194/gmd-15-971-2022
https://doi.org/10.5194/gmd-15-971-2022
Model evaluation paper
 | 
02 Feb 2022
Model evaluation paper |  | 02 Feb 2022

Evaluating the assimilation of S5P/TROPOMI near real-time SO2 columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption

Antje Inness, Melanie Ades, Dimitris Balis, Dmitry Efremenko, Johannes Flemming, Pascal Hedelt, Maria-Elissavet Koukouli, Diego Loyola, and Roberto Ribas

Data sets

Experiment hhu5 Antje Inness https://doi.org/10.21957/cygt-xf49

Experiment hgze Antje Inness https://doi.org/10.21957/qfam-7474

Experiment hhbu Antje Inness https://doi.org/10.21957/zpdt-f079

Experiment hhtm Antje Inness https://doi.org/10.21957/jraa-s174

Experiment hhtn Antje Inness https://doi.org/10.21957/ddxs-2v95

Experiment hgz7 Antje Inness https://doi.org/10.21957/81bh-7h58

TROPOMI V3.1 SO2 LH data Pascal Hedelt https://doi.org/10.5281/zenodo.5602935

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Short summary
This paper describes the way that the Copernicus Atmosphere Monitoring Service (CAMS) produces forecasts of volcanic SO2. These forecasts are provided routinely every day. They are created by blending SO2 data from satellite instruments (TROPOMI and GOME-2) with the CAMS model. We show that the quality of the CAMS SO2 forecasts can be improved if additional information about the height of volcanic plumes is provided in the satellite data.